An artificial intelligence-based tool can predict the medical trajectories of individual premature newborns from blood samples collected soon after they are born, a Stanford Medicine-led study has ...
11hon MSN
Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...
Abstract: This paper focuses on developing a vehicle tracking algorithm for vehicle inspection systems. Tracking small vehicle movements in small enclosed systems can be challenging, but offers ...
bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
Abstract: Heart diseases (CVDs) persist a precede cause of fatality rate worldwide, necessitating accurate and explainable prediction model for early diagnosis and intercession. This study inquire the ...
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